Introduction to the Theory of Neural Computation

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Basic Books, 1991 - Computers - 327 pages
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Comprehensive introduction to the neural network models currently under intensive study for computational applications. It also provides coverage of neural network applications in a variety of problems of both theoretical and practical interest.
  

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old but good text on physics and NN recommended by Arbib Read full review

Contents

ONE Introduction
1
TWO The Hopfield Model
11
THREE Extensions of the Hopfield Model
43
FOUR Optimization Problems
71
SIX MultiLayer Networks
115
SEVEN Recurrent Networks
163
EIGHT Unsupervised Hebbian Learning
197
NINE Unsupervised Competitive Learning
217
TEN Formal Statistical Mechanics of Neural Networks
251
APPENDIX Statistical Mechanics
275
Bibliography
281
Subject Index
307
Author Index
321
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